Observed Signal · Jun 17, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive
Peec AI Launches AI Shopping Analytics
Peec AI launched AI Shopping Analytics, a SKU-level analytics product that gives e-commerce brands visibility into how AI assistants (e.g., ChatGPT, Perplexity, Gemini, Copilot, Amazon) recommend their catalogs. The tool surfaces product visibility, win rate, ranking position, where AI directs buyers (brand site, marketplace, retailer), comparison attributes AI uses, prices quoted by assistants versus catalog prices, and the shopping queries/prompts behind recommendations. The release is positioned amid industry moves toward agentic commerce and the Universal Commerce Protocol (Shopify & Google). Peec AI reported surpassing $10M ARR in May 2026, has over 2,500 customers including Attio, Squarespace, TUI and Hugo Boss, and opened its first US office in New York. AI Shopping Analytics is available now; Peec AI plans to add “Shopping Actions,” AI-generated prompt setup, and API and MCP access in the coming weeks.
Provides brands with new measurement and product-level visibility into AI-driven shopping and recommendations as agentic commerce and AI assistants become new discovery surfaces.
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Key Takeaways & Evidence Grounding
- Peec AI launched AI Shopping Analytics to provide SKU-level visibility into AI assistant product recommendations.
- The product tracks visibility, win rate, ranking position, destination (brand site, marketplace, retailer), comparison attributes, mentioned price, and shopping queries.
- Peec AI surpassed $10 million in annual recurring revenue in May 2026 and has more than 2,500 customers, including Attio, Squarespace, TUI and Hugo Boss.
- Peec AI opened its first US office in New York earlier in 2026 and cites the US as its fastest-growing market.
- AI Shopping Analytics is available now; upcoming features include Shopping Actions, AI-generated prompt setup, and API and MCP access.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Peec AI Crowned Top Enterprise Tool for AI Search Visibility
An independent BusinessCloud evaluation ranked Peec AI as the leading enterprise platform for AI search visibility tracking in 2026. The review assessed 14 vendors on criteria including multi-LLM coverage, citation analysis, sentiment tracking, prompt-scale capacity, reporting and integrations. The study reports that 58% of US searches now return AI-driven answers, increasing the need for specialized tools to measure brand exposure across models such as ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. Peec AI was highlighted for prompt-level mention frequency, sentiment and position data at scale, multi-country monitoring, enterprise-ready reporting, and exportable workflows. The article lists the top 14 ranked platforms and argues enterprises should prioritise multi-LLM coverage, citation/sentiment tracking and prompt-level metrics when selecting tools.
Introducing brand perception
Peec AI announces a new product feature for brand perception, with a live webinar on September 22. Also introduces AI referrals, a new product update.
AI Becomes Our Shopping Adviser
The article examines how generative AI and chat assistants have shifted product discovery from a menu of options to a single recommended answer, changing who does the deliberation work in shopping. Surveys cited (Clutch, Klaviyo, Riskified) show widespread consumer use of AI for product research and notable shares acting on recommendations. Major platforms and retailers are moving toward "agentic" commerce: OpenAI experimented with checkout and began showing labelled sponsored messages in early 2026; Amazon’s assistant narrows choices and can now buy under set rules; Google announced a commerce standard at NRF with retailers and payment firms. The piece highlights emerging practices such as Generative Engine Optimization (GEO) / Answer Engine Optimization (AEO), growing sponsored placements inside chat replies, trust issues (automation bias, mixed survey trust), and broader market effects including concentration of spend around the names AI surfaces.
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